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EPISODE · Jul 2, 2025 · 29 MIN

Thinking About Gender Bias and Patient Participation in AI Development

from AI Rounds by the Cumming School of Medicine · host Office of Faculty Development, Cumming School of Medicine, University of Calgary

This week Jessalyn has a fascinating conversation with guest Dr. Zack Marshall, an expert in Community-Based Participatory Research and Responsible AI. The conversation explores gender bias in AI, how to engage patients and the public in AI development, and transdisciplinary thinking and collaboration in AI. Check the links below for the projects mentioned in this episode.Shirin Seyedsalehi, Amin Bigdeli, Negar Arabzadeh, Batool AlMousawi, Zack Marshall, Morteza Zihayat and Ebrahim Bagheri (2025), "Understanding and Mitigating Gender Bias in Information Retrieval Systems", Foundations and Trends® in Information Retrieval: Vol. 19: No. 3, pp 191-364. (http://dx.doi.org/10.1561/1500000103)AbSPORuPaCERNotebookLMData Nutrition ProjectResponsible AI Project

What this episode covers

This week Jessalyn has a fascinating conversation with guest Dr. Zack Marshall, an expert in Community-Based Participatory Research and Responsible AI. The conversation explores gender bias in AI, how to engage patients and the public in AI development, and transdisciplinary thinking and collaboration in AI. Check the links below for the projects mentioned in this episode.Shirin Seyedsalehi, Amin Bigdeli, Negar Arabzadeh, Batool AlMousawi, Zack Marshall, Morteza Zihayat and Ebrahim Bagheri (2025), "Understanding and Mitigating Gender Bias in Information Retrieval Systems", Foundations and Trends® in Information Retrieval: Vol. 19: No. 3, pp 191-364. (http://dx.doi.org/10.1561/1500000103)AbSPORuPaCERNotebookLMData Nutrition ProjectResponsible AI Project

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This episode is 29 minutes long.

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This episode was published on July 2, 2025.

What is this episode about?

This week Jessalyn has a fascinating conversation with guest Dr. Zack Marshall, an expert in Community-Based Participatory Research and Responsible AI. The conversation explores gender bias in AI, how to engage patients and the public in AI...

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